Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic app...
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Format: | Article |
Language: | English |
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University of Banja Luka
2023-12-01
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Series: | Electronics |
Online Access: | https://els-journal.net/wp/?page_id=721 |
_version_ | 1797305353580314624 |
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author | Samir Barra |
author_facet | Samir Barra |
author_sort | Samir Barra |
collection | DOAJ |
description | This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic approach that combines the artificial intelligence of an ant colony and the 3D matrix method is developed to determine the optimal dimensions and the main influencing performances of fundamental analog circuits and, including operational amplifiers (op-amps). The proposed methodology uses ACO and Cadence Spectre as dimensioning techniques and implementation platform, respectively. The Three Dimensions (3D) ACO algorithm is successfully used for analog circuit sizing, and the obtained results demonstrate its effectiveness in sizing basic and more complicated analog circuits. |
first_indexed | 2024-03-08T00:25:35Z |
format | Article |
id | doaj.art-37634a0710504028a3a4fca9e13d07b3 |
institution | Directory Open Access Journal |
issn | 1450-5843 2831-0128 |
language | English |
last_indexed | 2024-03-08T00:25:35Z |
publishDate | 2023-12-01 |
publisher | University of Banja Luka |
record_format | Article |
series | Electronics |
spelling | doaj.art-37634a0710504028a3a4fca9e13d07b32024-02-15T18:09:44ZengUniversity of Banja LukaElectronics1450-58432831-01282023-12-01272354210.53314/ELS2327035BIntelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony OptimizationSamir Barra This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic approach that combines the artificial intelligence of an ant colony and the 3D matrix method is developed to determine the optimal dimensions and the main influencing performances of fundamental analog circuits and, including operational amplifiers (op-amps). The proposed methodology uses ACO and Cadence Spectre as dimensioning techniques and implementation platform, respectively. The Three Dimensions (3D) ACO algorithm is successfully used for analog circuit sizing, and the obtained results demonstrate its effectiveness in sizing basic and more complicated analog circuits.https://els-journal.net/wp/?page_id=721 |
spellingShingle | Samir Barra Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization Electronics |
title | Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization |
title_full | Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization |
title_fullStr | Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization |
title_full_unstemmed | Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization |
title_short | Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization |
title_sort | intelligent optimization of cmos operational amplifier using 3d ant colony optimization |
url | https://els-journal.net/wp/?page_id=721 |
work_keys_str_mv | AT samirbarra intelligentoptimizationofcmosoperationalamplifierusing3dantcolonyoptimization |